judithrosell / BC5CDR_SciBERT_NER

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: 4
Model's Last Updated: December 18 2023
token-classification

Introduction of BC5CDR_SciBERT_NER

Model Details of BC5CDR_SciBERT_NER

BC5CDR_SciBERT_NER

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0818

  • Seqeval classification report: precision recall f1-score support

    Chemical 0.92 0.94 0.93 7079 Disease 0.98 0.98 0.98 103426

    micro avg 0.98 0.97 0.98 110505 macro avg 0.95 0.96 0.95 110505

weighted avg 0.98 0.97 0.98 110505

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Seqeval classification report
No log 1.0 143 0.0891 precision recall f1-score support
Chemical       0.91      0.93      0.92      7079
 Disease       0.98      0.97      0.97    103426

micro avg 0.97 0.97 0.97 110505 macro avg 0.94 0.95 0.95 110505 weighted avg 0.97 0.97 0.97 110505 | | No log | 2.0 | 286 | 0.0830 | precision recall f1-score support

Chemical       0.93      0.93      0.93      7079
 Disease       0.98      0.97      0.98    103426

micro avg 0.98 0.97 0.97 110505 macro avg 0.96 0.95 0.95 110505 weighted avg 0.98 0.97 0.97 110505 | | No log | 3.0 | 429 | 0.0818 | precision recall f1-score support

Chemical       0.92      0.94      0.93      7079
 Disease       0.98      0.98      0.98    103426

micro avg 0.98 0.97 0.98 110505 macro avg 0.95 0.96 0.95 110505 weighted avg 0.98 0.97 0.98 110505 |

Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0

Runs of judithrosell BC5CDR_SciBERT_NER on huggingface.co

7
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
4
30-day runs

More Information About BC5CDR_SciBERT_NER huggingface.co Model

BC5CDR_SciBERT_NER huggingface.co

BC5CDR_SciBERT_NER huggingface.co is an AI model on huggingface.co that provides BC5CDR_SciBERT_NER's model effect (), which can be used instantly with this judithrosell BC5CDR_SciBERT_NER model. huggingface.co supports a free trial of the BC5CDR_SciBERT_NER model, and also provides paid use of the BC5CDR_SciBERT_NER. Support call BC5CDR_SciBERT_NER model through api, including Node.js, Python, http.

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judithrosell BC5CDR_SciBERT_NER online free url in huggingface.co:

https://huggingface.co/judithrosell/BC5CDR_SciBERT_NER

BC5CDR_SciBERT_NER install

BC5CDR_SciBERT_NER is an open source model from GitHub that offers a free installation service, and any user can find BC5CDR_SciBERT_NER on GitHub to install. At the same time, huggingface.co provides the effect of BC5CDR_SciBERT_NER install, users can directly use BC5CDR_SciBERT_NER installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

BC5CDR_SciBERT_NER install url in huggingface.co:

https://huggingface.co/judithrosell/BC5CDR_SciBERT_NER

Url of BC5CDR_SciBERT_NER

BC5CDR_SciBERT_NER huggingface.co Url

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judithrosell
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